The LION Way: Machine Learning plus Intelligent Optimization

Livro digital

Título:
The LION Way: Machine Learning plus Intelligent Optimization

Autor:
Roberto Battiti, Mauro Brunato

Categoria:
Tecnologia > IA

Doador:
Raffaello D. N.

Sinopse:
The opening chapters make the book’s promise clear: it starts with “Learning and Intelligent Optimization: a prairie fire,” then moves through nearest neighbors, hashing, LSH, and k-d trees before turning to how learning actually works. If you want a guide that connects data-driven modeling with optimization from the first pages, this one is built for that problem. The table of contents shows a methodical path through supervised learning: linear models, generalized least squares, goodness of fit, maximum likelihood, hypothesis testing, cross-validation, and bootstrapping. It then expands into decision trees and forests, feature ranking, matrix factorization, logistic regression, locally weighted regression, and LASSO, giving the reader both core techniques and the tools to compare them. This is a technical, two-author academic monograph from LIONlab, University of Trento, aimed at readers who want substance rather than a quick overview. The payoff is a broad, practical view of machine learning grounded in optimization, with enough structure to support study, teaching, and real implementation work.